What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Law
- The Internet
Nigel Shadbolt spends much of his time researching World Wide Web, Information retrieval, Knowledge management, Semantic Web and Ontology.
World Wide Web is often connected to Task in his work.
His work on SPARQL and Ranking as part of general Information retrieval research is frequently linked to RDF query language and Automatic image annotation, bridging the gap between disciplines.
His Knowledge management research integrates issues from Knowledge elicitation, Context and Expert system.
His research integrates issues of Grid computing and Constraint satisfaction in his study of Semantic Web.
He has researched Ontology in several fields, including Ontology and Recommender system.
His most cited work include:
- The Semantic Web Revisited (1437 citations)
- Resource Description Framework (RDF) (906 citations)
- An integrated trust and reputation model for open multi-agent systems (678 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include World Wide Web, Knowledge management, Semantic Web, Ontology and Information retrieval.
His World Wide Web study frequently links to related topics such as Context.
His research on Knowledge management focuses in particular on Knowledge acquisition.
His study looks at the relationship between Knowledge acquisition and topics such as Knowledge engineering, which overlap with Domain knowledge and Knowledge base.
The study incorporates disciplines such as Web service and Data science in addition to Semantic Web.
His work deals with themes such as Ontology and Semantics, which intersect with Ontology.
He most often published in these fields:
- World Wide Web (25.08%)
- Knowledge management (19.24%)
- Semantic Web (17.35%)
What were the highlights of his more recent work (between 2012-2021)?
- Internet privacy (6.47%)
- World Wide Web (25.08%)
- Data science (9.94%)
In recent papers he was focusing on the following fields of study:
Nigel Shadbolt mostly deals with Internet privacy, World Wide Web, Data science, Context and Human–computer interaction.
His Internet privacy research is multidisciplinary, relying on both Variety, Focus group and Data Protection Act 1998.
His Web science and Semantic Web study in the realm of World Wide Web connects with subjects such as Citizen science.
Nigel Shadbolt is studying Social Semantic Web, which is a component of Semantic Web.
His work in Context covers topics such as Linked data which are related to areas like Social media and RDF.
Nigel Shadbolt interconnects Quality and Information retrieval in the investigation of issues within Crowdsourcing.
Between 2012 and 2021, his most popular works were:
- 'It's Reducing a Human Being to a Percentage': Perceptions of Justice in Algorithmic Decisions (128 citations)
- Trust among cybercriminals? Carding forums, uncertainty and implications for policing (59 citations)
- Towards a classification framework for social machines (57 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Law
- The Internet
Nigel Shadbolt mainly focuses on Data science, World Wide Web, Internet privacy, The Internet and Perception.
His research on Data science also deals with topics like
- Social media that intertwine with fields like Named-entity recognition, Component, Crowd computing and Information retrieval,
- Core, Reflection, Process and Community development most often made with reference to Set,
- Crowdsourcing and related Incentive, Interface, Task, Semantic Web and Open data.
His work on Web science as part of his general World Wide Web study is frequently connected to Citizen science, thereby bridging the divide between different branches of science.
His Internet privacy research includes themes of Key, Data Protection Act 1998 and Mobile apps.
His The Internet study combines topics in areas such as Computer security, Social psychology, State and Public relations.
His Perception research is multidisciplinary, incorporating perspectives in Economic Justice, Focus group and Arbitrariness.
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